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CECM launches Study Group on Parallel Computing in Cooperation with Silicon GraphicsConstructive Mathematics (CECM) announced today the formation of the Parallel Study Group (PSG), an interdisciplinary effort to develop expertise and experience in parallel computing. With the long term loan of one of the latest high performance number crunchers from Silicon Graphics, PSG aims to open up new computing potential to the University's research community.PSG consists of mathematicians, physicists, chemists and others interested in solving problems where parallelism may be exploited. Parallel computing offers a way to split a large problem into smaller pieces, where each piece is more manageable than the whole. Solving each subproblem and bringing the solution pieces together yields a complete solution to the original problem. "The hope, of course, is that the solution may be obtained much faster using this methodology," said Ronald Haynes, coordinator of PSG. Faciliating the group's efforts is a state of the art multiprocessor that features eight 250 MHz processors. The SGI Origin R10000 machine has 4 GBytes of RAM and 27 GBytes of disk space. With their purchase of Cray Research, Silicon Graphics have affirmed their leadership in the supercomputing industry, developing some of the largest and fastest high performance computing machinery in the world.
Example from Using MPI 2nd EditionParallel Computing Short Course materials available online |
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CECM | Department of Mathematics and Statistics | SFU | SGI | PSG Home Page |
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For more information, please email Ronald Haynes at rhaynes@cecm.sfu.ca. This web page is designed and maintained by Jen Chang. Last modified: August 10, 2000. |